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- affiliation: University College London, London, UK
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2020 – today
- 2022
[j25]Xiangnan He, Zhaochun Ren
, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. 40(2): 21:1-21:5 (2022)- [j24]Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2. ACM Trans. Inf. Syst. 40(3): 42:1-42:5 (2022) - [c105]Yue Feng, Aldo Lipani, Fanghua Ye, Qiang Zhang, Emine Yilmaz:
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking. ACL (1) 2022: 115-126 - [c104]Fanghua Ye, Yue Feng, Emine Yilmaz:
ASSIST: Towards Label Noise-Robust Dialogue State Tracking. ACL (Findings) 2022: 2719-2731 - [c103]María Pérez-Ortiz, Sahan Bulathwela, Claire Dormann, Meghana Verma, Stefan Kreitmayer, Richard Noss, John Shawe-Taylor, Yvonne Rogers, Emine Yilmaz:
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos? CHIIR 2022: 90-101 - [c102]Fangyu Liu, Yunlong Jiao, Jordan Massiah, Emine Yilmaz, Serhii Havrylov:
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations. ICLR 2022 - [c101]Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards. SIGIR 2022: 2939-2948 - [c100]Rikaz Rameez, Hossein A. Rahmani, Emine Yilmaz:
ViralBERT: A User Focused BERT-Based Approach to Virality Prediction. UMAP (Adjunct Publication) 2022: 85-89 - [c99]Jarana Manotumruksa, Jeffrey Dalton, Edgar Meij, Emine Yilmaz:
Similarity-based Multi-Domain Dialogue State Tracking with Copy Mechanisms for Task-based Virtual Personal Assistants. WWW 2022: 2006-2014 - [i35]María Pérez-Ortiz, Sahan Bulathwela, Claire Dormann, Meghana Verma, Stefan Kreitmayer, Richard Noss, John Shawe-Taylor, Yvonne Rogers, Emine Yilmaz:
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos? CoRR abs/2201.03408 (2022) - [i34]Fanghua Ye, Yue Feng, Emine Yilmaz:
ASSIST: Towards Label Noise-Robust Dialogue State Tracking. CoRR abs/2202.13024 (2022) - [i33]Yue Feng, Aldo Lipani, Fanghua Ye, Qiang Zhang, Emine Yilmaz:
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking. CoRR abs/2204.06677 (2022) - [i32]Peter Hayes, Mingtian Zhang, Raza Habib, Jordan Burgess, Emine Yilmaz, David Barber:
Integrated Weak Learning. CoRR abs/2206.09496 (2022) - [i31]Rikaz Rameez, Hossein A. Rahmani, Emine Yilmaz:
ViralBERT: A User Focused BERT-Based Approach to Virality Prediction. CoRR abs/2206.10298 (2022) - [i30]Sahan Bulathwela, Meghana Verma, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments. CoRR abs/2207.01504 (2022) - 2021
- [j23]Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells:
Guest editorial: special issue on ECIR 2020. Inf. Retr. J. 24(1): 1-2 (2021) - [j22]Gizem Gezici, Aldo Lipani, Yücel Saygin, Emine Yilmaz:
Evaluation metrics for measuring bias in search engine results. Inf. Retr. J. 24(2): 85-113 (2021) - [j21]Aldo Lipani, Ben Carterette, Emine Yilmaz:
How Am I Doing?: Evaluating Conversational Search Systems Offline. ACM Trans. Inf. Syst. 39(4): 51:1-51:22 (2021) - [c98]Danula Hettiachchi, Mark Sanderson, Jorge Gonçalves, Simo Hosio, Gabriella Kazai, Matthew Lease, Mike Schaekermann, Emine Yilmaz:
Investigating and Mitigating Biases in Crowdsourced Data. CSCW Companion 2021: 331-334 - [c97]Qiang Zhang, Jonathan Cook, Emine Yilmaz:
Detecting and Forecasting Misinformation via Temporal and Geometric Propagation Patterns. ECIR (2) 2021: 455-462 - [c96]Jarana Manotumruksa, Jeff Dalton, Edgar Meij, Emine Yilmaz:
Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation. EMNLP (Findings) 2021: 1674-1683 - [c95]María Pérez-Ortiz, Claire Dormann, Yvonne Rogers, Sahan Bulathwela, Stefan Kreitmayer, Emine Yilmaz, Richard Noss, John Shawe-Taylor:
X5Learn: A Personalised Learning Companion at the Intersection of AI and HCI. IUI Companion 2021: 70-74 - [c94]Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz:
Variational Continual Bayesian Meta-Learning. NeurIPS 2021: 24556-24568 - [c93]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. SIGIR 2021: 1566-1576 - [c92]Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. SIGIR 2021: 2283-2287 - [c91]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff:
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. SIGIR 2021: 2369-2375 - [c90]Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz:
Estimation of Fair Ranking Metrics with Incomplete Judgments. WWW 2021: 1065-1075 - [c89]Qiang Zhang, Aldo Lipani, Emine Yilmaz:
Learning Neural Point Processes with Latent Graphs. WWW 2021: 1495-1505 - [c88]Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz:
Slot Self-Attentive Dialogue State Tracking. WWW 2021: 1598-1608 - [i29]Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz:
Slot Self-Attentive Dialogue State Tracking. CoRR abs/2101.09374 (2021) - [i28]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos:
Overview of the TREC 2020 deep learning track. CoRR abs/2102.07662 (2021) - [i27]Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. CoRR abs/2102.12887 (2021) - [i26]Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz:
MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation. CoRR abs/2104.00773 (2021) - [i25]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff:
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. CoRR abs/2104.09399 (2021) - [i24]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. CoRR abs/2105.04021 (2021) - [i23]Qiang Zhang, Hongbin Huang, Shangsong Liang, Zaiqiao Meng, Emine Yilmaz:
Learning to Detect Few-Shot-Few-Clue Misinformation. CoRR abs/2108.03805 (2021) - [i22]Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz:
Estimation of Fair Ranking Metrics with Incomplete Judgments. CoRR abs/2108.05152 (2021) - [i21]Sahan Bulathwela, María Pérez-Ortiz, Erik Novak, Emine Yilmaz, John Shawe-Taylor:
PEEK: A Large Dataset of Learner Engagement with Educational Videos. CoRR abs/2109.03154 (2021) - [i20]Emine Yilmaz, Peter Hayes, Raza Habib, Jordan Burgess, David Barber:
Sample Efficient Model Evaluation. CoRR abs/2109.12043 (2021) - [i19]Fangyu Liu, Yunlong Jiao, Jordan Massiah, Emine Yilmaz, Serhii Havrylov:
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations. CoRR abs/2109.13059 (2021) - [i18]Aldo Lipani, Florina Piroi, Emine Yilmaz:
Towards More Accountable Search Engines: Online Evaluation of Representation Bias. CoRR abs/2110.08835 (2021) - [i17]Danula Hettiachchi, Mark Sanderson, Jorge Gonçalves, Simo Hosio, Gabriella Kazai, Matthew Lease, Mike Schaekermann, Emine Yilmaz:
Proceedings of the CSCW 2021 Workshop - Investigating and Mitigating Biases in Crowdsourced Data. CoRR abs/2111.14322 (2021) - [i16]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems. CoRR abs/2112.04368 (2021) - 2020
- [j20]Andrew Burnie, Emine Yilmaz, Tomaso Aste:
Analysing Social Media Forums to Discover Potential Causes of Phasic Shifts in Cryptocurrency Price Series. Frontiers Blockchain 3: 1 (2020) - [j19]Rishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz:
Special issue on learning from user interactions. Inf. Retr. J. 23(6): 525-527 (2020) - [j18]Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz:
Report on the WSDM 2020 workshop on state-based user modelling (SUM'20). SIGIR Forum 54(1): 5:1-5:11 (2020) - [c87]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources. AAAI 2020: 565-573 - [c86]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract). AAAI 2020: 13759-13760 - [c85]Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck:
ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search. CIKM 2020: 2983-2989 - [c84]Sahan Bulathwela, María Pérez-Ortiz, Aldo Lipani, Emine Yilmaz, John Shawe-Taylor:
Predicting Engagement in Video Lectures. EDM 2020 - [c83]Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz:
Unsupervised Few-Bits Semantic Hashing with Implicit Topics Modeling. EMNLP (Findings) 2020: 2566-2575 - [c82]Qiang Zhang, Aldo Lipani, Ömer Kirnap, Emine Yilmaz:
Self-Attentive Hawkes Process. ICML 2020: 11183-11193 - [c81]Jarana Manotumruksa, Emine Yilmaz:
Sequential-based Adversarial Optimisation for Personalised Top-N Item Recommendation. SIGIR 2020: 2045-2048 - [c80]Jarana Manotumruksa, Jeff Dalton, Edgar Meij, Emine Yilmaz:
CrossBERT: A Triplet Neural Architecture for Ranking Entity Properties. SIGIR 2020: 2049-2052 - [c79]Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos:
On the Reliability of Test Collections for Evaluating Systems of Different Types. SIGIR 2020: 2101-2104 - [c78]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos:
Overview of the TREC 2020 Deep Learning Track. TREC 2020 - [c77]Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz:
SUM'20: State-based User Modelling. WSDM 2020: 899-900 - [e9]Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells, Nicola Ferro, Mário J. Silva, Flávio Martins:
Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12035, Springer 2020, ISBN 978-3-030-45438-8 [contents] - [e8]Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells, Nicola Ferro, Mário J. Silva, Flávio Martins:
Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12036, Springer 2020, ISBN 978-3-030-45441-8 [contents] - [i15]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees:
Overview of the TREC 2019 deep learning track. CoRR abs/2003.07820 (2020) - [i14]Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos:
On the Reliability of Test Collections for Evaluating Systems of Different Types. CoRR abs/2004.13486 (2020) - [i13]Sahan Bulathwela, María Pérez-Ortiz, Aldo Lipani, Emine Yilmaz, John Shawe-Taylor:
Predicting Engagement in Video Lectures. CoRR abs/2006.00592 (2020) - [i12]Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang, Emine Yilmaz:
Outlier Resilient Collaborative Web Service QoS Prediction. CoRR abs/2006.01287 (2020) - [i11]Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck:
ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search. CoRR abs/2006.05324 (2020) - [i10]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement. CoRR abs/2011.02273 (2020)
2010 – 2019
- 2019
- [j17]Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima:
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. SIGIR Forum 53(2): 20-43 (2019) - [j16]Shangsong Liang, Emine Yilmaz, Evangelos Kanoulas:
Collaboratively Tracking Interests for User Clustering in Streams of Short Texts. IEEE Trans. Knowl. Data Eng. 31(2): 257-272 (2019) - [c76]Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz:
Towards Task Understanding in Visual Settings. AAAI 2019: 10027-10028 - [c75]Aldo Lipani, Ben Carterette, Emine Yilmaz:
From a User Model for Query Sessions to Session Rank Biased Precision (sRBP). ICTIR 2019: 109-116 - [c74]Andrew Burnie, Emine Yilmaz:
An Analysis of the Change in Discussions on Social Media with Bitcoin Price. SIGIR 2019: 889-892 - [c73]Qiang Zhang, Shangsong Liang, Aldo Lipani, Zhaochun Ren, Emine Yilmaz:
From Stances' Imbalance to Their HierarchicalRepresentation and Detection. WWW 2019: 2323-2332 - [c72]Qiang Zhang, Aldo Lipani, Shangsong Liang, Emine Yilmaz:
Reply-Aided Detection of Misinformation via Bayesian Deep Learning. WWW 2019: 2333-2343 - [i9]Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, Emine Yilmaz:
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks. CoRR abs/1907.03693 (2019) - [i8]Qiang Zhang, Aldo Lipani, Ömer Kirnap, Emine Yilmaz:
Self-Attentive Hawkes Processes. CoRR abs/1907.07561 (2019) - [i7]Niklas Stoehr, Marc Brockschmidt, Jan Stuehmer, Emine Yilmaz:
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs. CoRR abs/1910.05639 (2019) - [i6]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources. CoRR abs/1911.09471 (2019) - [i5]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Towards an Integrative Educational Recommender for Lifelong Learners. CoRR abs/1912.01592 (2019) - 2018
- [j15]Emine Yilmaz:
ACM SIGIR Annual Business Meeting 2018: Secretary's Notes. SIGIR Forum 52(2): 5-10 (2018) - [c71]Manisha Verma, Emine Yilmaz, Nick Craswell:
Study of Relevance and Effort across Devices. CHIIR 2018: 309-312 - [c70]Rishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz:
LearnIR: WSDM 2018 Workshop on Learning from User Interactions. WSDM 2018: 797-798 - [c69]Qiang Zhang, Emine Yilmaz, Shangsong Liang:
Ranking-based Method for News Stance Detection. WWW (Companion Volume) 2018: 41-42 - [e7]Kevyn Collins-Thompson, Qiaozhu Mei, Brian D. Davison, Yiqun Liu, Emine Yilmaz:
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018. ACM 2018 [contents] - [i4]Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz:
Towards Task Understanding in Visual Settings. CoRR abs/1811.11833 (2018) - [i3]Qiang Zhang, Shangsong Liang, Emine Yilmaz:
Variational Self-attention Model for Sentence Representation. CoRR abs/1812.11559 (2018) - 2017
- [j14]Marijn Koolen, Jaap Kamps, Toine Bogers, Nicholas J. Belkin, Diane Kelly, Emine Yilmaz:
Report on the Second Workshop on Supporting Complex Search Tasks. SIGIR Forum 51(1): 58-66 (2017) - [j13]Hui Fang, Jaap Kamps, Evangelos Kanoulas, Maarten de Rijke, Emine Yilmaz:
Report on the 2017 ACM SIGIR International Conference Theory of Information Retrieval (ICTIR?17). SIGIR Forum 51(3): 78-87 (2017) - [j12]Shangsong Liang, Emine Yilmaz, Hong Shen, Maarten de Rijke, W. Bruce Croft:
Search Result Diversification in Short Text Streams. ACM Trans. Inf. Syst. 36(1): 8:1-8:35 (2017) - [j11]Shangsong Liang, Zhaochun Ren, Yukun Zhao, Jun Ma, Emine Yilmaz, Maarten de Rijke:
Inferring Dynamic User Interests in Streams of Short Texts for User Clustering. ACM Trans. Inf. Syst. 36(1): 10:1-10:37 (2017) - [c68]Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas:
Collaborative User Clustering for Short Text Streams. AAAI 2017: 3504-3510 - [c67]Marijn Koolen, Jaap Kamps, Toine Bogers, Nicholas J. Belkin, Diane Kelly, Emine Yilmaz:
Current Research in Supporting Complex Search Tasks. SCST@CHIIR 2017: 1-4 - [c66]Jiyin He, Emine Yilmaz:
User Behaviour and Task Characteristics: A Field Study of Daily Information Behaviour. CHIIR 2017: 67-76 - [c65]Nicholas J. Belkin, Toine Bogers, Jaap Kamps, Diane Kelly, Marijn Koolen, Emine Yilmaz:
Second Workshop on Supporting Complex Search Tasks. CHIIR 2017: 433-435 - [c64]Rishabh Mehrotra, Ahmed Hassan Awadallah, Milad Shokouhi, Emine Yilmaz, Imed Zitouni, Ahmed El Kholy, Madian Khabsa:
Deep Sequential Models for Task Satisfaction Prediction. CIKM 2017: 737-746 - [c63]Rishabh Mehrotra, Emine Yilmaz:
Task Embeddings: Learning Query Embeddings using Task Context. CIKM 2017: 2199-2202 - [c62]Manisha Verma, Emine Yilmaz:
Search Costs vs. User Satisfaction on Mobile. ECIR 2017: 698-704 - [c61]Rishabh Mehrotra, Emine Yilmaz:
Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach. SIGIR 2017: 285-294 - [c60]Evangelos Kanoulas, Emine Yilmaz, Rishabh Mehrotra, Ben Carterette, Nick Craswell, Peter Bailey:
TREC 2017 Tasks Track Overview. TREC 2017 - [c59]Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz:
Auditing Search Engines for Differential Satisfaction Across Demographics. WWW (Companion Volume) 2017: 626-633 - [c58]Bin Zou, Vasileios Lampos, Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Ingemar J. Cox:
A Concept Language Model for Ad-hoc Retrieval. WWW (Companion Volume) 2017: 885-886 - [e6]Marijn Koolen, Jaap Kamps, Toine Bogers, Nicholas J. Belkin, Diane Kelly, Emine Yilmaz:
Proceedings of the Second Workshop on Supporting Complex Search Tasks co-located with the ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2017), Oslo, Norway, March 11, 2017. CEUR Workshop Proceedings 1798, CEUR-WS.org 2017 [contents] - [e5]Jaap Kamps, Evangelos Kanoulas, Maarten de Rijke, Hui Fang, Emine Yilmaz:
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017. ACM 2017, ISBN 978-1-4503-4490-6 [contents] - [i2]Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz:
Auditing Search Engines for Differential Satisfaction Across Demographics. CoRR abs/1705.10689 (2017) - [i1]Rishabh Mehrotra, Emine Yilmaz:
Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach. CoRR abs/1706.01574 (2017) - 2016
- [j10]Charles L. A. Clarke, Emine Yilmaz:
EVIA 2016: The Seventh International Workshop on Evaluating Information Access. SIGIR Forum 50(2): 44-46 (2016) - [c57]Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz:
Characterizing Users' Multi-Tasking Behavior in Web Search. CHIIR 2016: 297-300 - [c56]Manisha Verma, Emine Yilmaz:
Category Oriented Task Extraction. CHIIR 2016: 333-336 - [c55]Manisha Verma, Emine Yilmaz:
Characterizing Relevance on Mobile and Desktop. ECIR 2016: 212-223 - [c54]Shangsong Liang, Emine Yilmaz, Evangelos Kanoulas:
Dynamic Clustering of Streaming Short Documents. KDD 2016: 995-1004 - [c53]Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz:
Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks. HLT-NAACL 2016: 599-605 - [c52]Emine Yilmaz, Charles L. A. Clarke:
Preface. EVIA@NTCIR 2016 - [c51]Rishabh Mehrotra, Emine Yilmaz:
Query Log Mining for Inferring User Tasks and Needs. ECML/PKDD (3) 2016: 284-288 - [c50]Dell Zhang, Jun Wang, Emine Yilmaz, Xiaoling Wang, Yuxin Zhou:
Bayesian Performance Comparison of Text Classifiers. SIGIR 2016: 15-24 - [c49]Yukun Zhao, Shangsong Liang, Zhaochun Ren, Jun Ma, Emine Yilmaz, Maarten de Rijke:
Explainable User Clustering in Short Text Streams. SIGIR 2016: 155-164 - [c48]Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz:
Uncovering Task Based Behavioral Heterogeneities in Online Search Behavior. SIGIR 2016: 1049-1052 - [c47]Necip Gözüaçik, Burhanettin Nacar, Emine Yilmaz, Basri Mumcu, Behcet Agar, Mehmet Can Gures, Oguzhan Yavuz:
Increasing trunk capacity on central international soft-switch. SIU 2016: 713-716 - [c46]Manisha Verma, Emine Yilmaz, Rishabh Mehrotra, Evangelos Kanoulas, Ben Carterette, Nick Craswell, Peter Bailey:
Overview of the TREC Tasks Track 2016. TREC 2016 - [c45]Manisha Verma, Emine Yilmaz, Nick Craswell:
On Obtaining Effort Based Judgements for Information Retrieval. WSDM 2016: 277-286 - [e4]Emine Yilmaz, Charles L. A. Clarke:
Proceedings of the Seventh International Workshop on Evaluating Information Access, EVIA 2016, a Satellite Workshop of the NTCIR-12 Conference, National Center of Sciences, Tokyo, Japan, june 7, 2016. National Institute of Informatics (NII) 2016 [contents] - 2015
- [c44]Rishabh Mehrotra, Emine Yilmaz:
Terms, Topics & Tasks: Enhanced User Modelling for Better Personalization. ICTIR 2015: 131-140 - [c43]